| | | | | | | | A deep neural network that learns from large-scale experimental optical data—rather than repeated electromagnetic simulations—can rapidly predict device performance, explore large design spaces, and perform inverse design in real time (without repeatedly running computationally expensive simulations). |
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| | Sponsored | | Made in the USA, the V-783 open-aperture XY stage combines long travel, direct-drive linear motors, and 1 nm encoder resolution in a compact monolithic design. With speeds to 1 m/s, acceleration to 10 m/s², and ±0.07 µm repeatability, it delivers precise, stable motion for semiconductor, photonics, metrology, microscopy, and automation applications. |
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| | | | | | In this episode: Researchers create a more accurate LiDAR system, this week's business roundup, and on-chip modelocked lasers advance. |
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| | | | | | As systems continue to scale in speed, density, and level of integration, future gains in imaging performance will be a result of architectural decisions as much as advances in sensors or optics. |
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| | | | | | Explore how ultrafast imaging tools can track lattice dynamics and carrier behavior during critical material changes. Register now. |
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| | | | | | This episode of Following the Photons: A Photonics Podcast features Dominique Noguet, coordinator of the FAMES Pilot Line, the leading initiative under the European Chips Act. |
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| | | | | | Crystalline supermirrors are more than a specialized coating technology—by leveraging a semiconductor-enabled manufacturing process, they provide a path to lower noise for ever-more precise instruments. |
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